Evidence map›Paper›PMID 23237668›Full record

ReviewNutrition journal2012

Dietary biomarkers: advances, limitations and future directions.

Valisa E Hedrick, Andrea M Dietrich, Paul A Estabrooks, Jyoti Savla, Elena Serrano, Brenda M Davy

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nutrition journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04136093 (Defining the Optimal Dietary Strategy for the Maintenance of Weight Loss and mEtaboLiC Outcomes in Centrally Obese postMenopausal womEn), which is not on this map. Cited by 127 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04136093 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Defining the Optimal Dietary Strategy for the Maintenance of Weight Loss and mEtaboLiC Outcomes in Centrally Obese postMenopausal womEn (WELCOME Study).

TypeinterventionalSponsorPoznan University of Life SciencesRan2020 to 2022Enrolled150ConditionsMetabolic Syndrome, Diet Modification, PostmenopauseArmsthe MED, the DASH, Control diet
3 · Its place in the literature

Who cites it

127 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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67 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Valisa E HedrickDepartment of Human Nutrition, Foods and Exercise, 221 Wallace Hall (0430), Virginia Tech, Blacksburg, Virginia 24061, USA. vhedrick@vt.edu
Andrea M Dietrich
Paul A Estabrooks
Jyoti Savla
Elena Serrano
Brenda M Davy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The subjective nature of self-reported dietary intake assessment methods presents numerous challenges to obtaining accurate dietary intake and nutritional status. This limitation can be overcome by the use of dietary biomarkers, which are able to objectively assess dietary consumption (or exposure) without the bias of self-reported dietary intake errors. The need for dietary biomarkers was addressed by the Institute of Medicine, who recognized the lack of nutritional biomarkers as a knowledge gap requiring future research. The purpose of this article is to review existing literature on currently available dietary biomarkers, including novel biomarkers of specific foods and dietary components, and assess the validity, reliability and sensitivity of the markers. This review revealed several biomarkers in need of additional validation research; research is also needed to produce sensitive, specific, cost-effective and noninvasive dietary biomarkers. The emerging field of metabolomics may help to advance the development of food/nutrient biomarkers, yet advances in food metabolome databases are needed. The availability of biomarkers that estimate intake of specific foods and dietary components could greatly enhance nutritional research targeting compliance to national recommendations as well as direct associations with disease outcomes. More research is necessary to refine existing biomarkers by accounting for confounding factors, to establish new indicators of specific food intake, and to develop techniques that are cost-effective, noninvasive, rapid and accurate measures of nutritional status.

Indexed as

BiomarkersCacaoCaffeineCitrusDietDietary CarbohydratesDietary FatsDietary ProteinsEdible GrainGarlicMetabolomeMetabolomicsNutritional StatusNutrition AssessmentOlive OilPlant OilsBiomarkersCaffeineDietary CarbohydratesDietary FatsDietary ProteinsOlive OilPlant Oils

Identifiers

PMID23237668
PMCPMC3568000

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.